Blog Post: March 2022

The ultimate road-map to becoming a React JS Software Developer

In 2022 we have seen a great increase in the world of web technologies and web development, in this article we will look at one of the fastest growing careers which is becoming a React JS front-end developer in 2022, we will look at a detailed road-map on how you can excel at today’s leading tech careers. Here is The ultimate road-map to becoming a React JS software developer:

Learn the basics of Web Development:

1-HTML (content): Basics, Forms and Validation, Meta tags, Semantic HTML, these are the fundamentals of how to structure and place content on your website.

2-CSS (styling): Basics, Bootstrap, Responsive design, SASS, Flex, Grid, Animations, these are the properties that deal with making your website look and feel amazing, they add styling and professionalism with enough practice and seeing a lot of modern website design.

3-JavaScript (logic/functionality): Basics, Data Structures, JSON, DOM, Closures, Async, Promises, Design Patterns, Node.JS , this is probably going to be one of the more difficult phases within your learning path, JavaScript is a programming language but it is very powerful tool when it comes to web technologies and components.

4-Build a personal website portfolio: This is to showcase your future projects that you will be working on so future potential clients and companies to see and review your work. This is it prove that your work speaks for itself.

5-React Js (Frontend library): React Basics (State ad Props), Material UI, Forms, React Hooks, and Context API, Redux, TypeScript, Jest, Next.JS, we have seen that React is one of the best and the most popular front-end technologies used by top companies nowadays, by mastering these concepts will make you an outstanding developer.

6-Version control (Git) + repository (GitHub, GitLab, GitBucket), this is very important especially working remote and, on a team, so this does not disturb any workflow in the company, also this is to save your project files on a rep of other developers to contribute, view or vet your work or contribute to Open Source.

7-Cloud computing (Azure /AWS): web hosting, authentication, validation, database. This is an added benefit to practice on side projects which shows you know modern cloud technologies we use today, the world we live in involves a lot of cloud computing power and having a great knowledge and understanding will truly help.

8-Projects (beginner, intermediate, expert): Projects are a great way to show off your skills and a great way to explain to companies the code you were working on, the ability to explain concepts and what you did gives hiring managers more confidence in hiring you.

9-Freelance work: this is working on real world projects like a website for a small company, a local business or for a school. This also shows that your can be very reliable and professional.

10-Practice interview questions and code challenges: This is a very fun and interesting way to tackle problems, remember, becoming a developer requires you to be a problem solver, this is also a very import skill to develop as most companies will give you a coding test to complete to gauge your knowledge and level.

11-Apply: this is also going to take a lot of time and patience as different companies are looking for different candidates, but with great experience, great resume, and an amazing portfolio you should be a top-notch React JS developer.

For more information, read on What is and all things React JS > HERE <

How to use React and Python /Django in a web application together.

In this article we will be taking a deeper dive how React JS and Django and be used in an application:

A notable benefit of employing Django for back-end web development is the fact that it’s a Representational State Transfer (REST) framework, which makes it a popular toolkit for building APIs. One of the main benefits of REST APIs is that they offer a great deal of flexibility. Hence, Django REST framework is essentially a highly powerful, scalable, and versatile toolkit for constructing web APIs.

With regards to merging Django and React technologies, it’s essentially a canonical combination for building web software. In practice, an application that combines both technologies will have Django as back-end and ReactJS as front-end. Simply put, this means that the REST API calls the back-end, if any data is needed in the front-end. Since front-end frameworks require a RESTful API to interact with, developers can choose to create a RESTful back-end API with Django.

React and Django together breakdown

Django (back-end Python technology)

-Django components: View, Model, Template, URLs, Admin

-Django will run on a different server but in the same environment

-React (front-end JavaScript library)

-React components: State, Props, Forms, Hooks

-React will run on a different client but in the same environment

-Together they will communicate through HTTPS requests or AJAX

-Powerful Front-end and powerful back-end

Benefits of using React JS with Python/Django

1. Enables good code management from both back-end and front-end.

2. Django maintains fairly manageable configuration as STATICFILES config will get you integrated with React pretty quickly.

3. Django comes with a ready made admin, and since the front-end and back-end are separated, development is less time consuming as it’s simpler to test, find and remove bugs.

4. ReactJS employs states of variables that support less compact code development.

5. The loading time will be far less since the front-end and back-end are already separated.

6. High-level customization can be accomplished by combining React and Django.

To find out more about what is Django all about, read more > HERE <

Data Science vs Data Engineering vs Data Analytics

Businesses and organizations have long used business reporting and data analytics on a tactical basis, answering such questions as “just what were sales in Wisconsin in 2021?” But in recent years big data management and analytics has become more strategic, spurred by digital transformation initiatives, efforts to leverage data for competitive advantage and even moves to monetize data assets.
More immediately, with the COVID-19 pandemic and its economic disruptions, businesses now realize the need to better utilize data for such tasks as managing supply chains and retaining employees. And the wave of cybersecurity incidents making headlines has brought home the importance of stepping up their data governance operations. All this is changing how businesses collect, manage, utilize and analyses their growing volumes of data.

According to Google Trends, we take a look at the following Data careers:

Let’s look at a deeper dive at each career path and understand the importance of each Data career:

2) What is a Data Engineer:

Data engineers work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. Their ultimate goal is to make data accessible so that organizations can use it to evaluate and optimize their performance.

-What tools and techniques do a Data Engineer need and use:

1) Coding skills in Python, R, Java
2) Data Lakes and Data Warehousing
3) ETL (Extraction, Transformation and Load) with data
4) Database Systems
5) Good soft skills
6) Basic understanding of Machine and Deep learning

-What is the earning potential for a Data Engineer?:

£85K. Average: £6,517Range: £1,234 - £34,431. The average salary for Data Engineer is £52,281 per year in the London Area. The average additional cash compensation for a Data Engineer in the London Area is £6,517, with a range from £1,234 - £34,431.

3) What is a Data Analyst?:

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. A data analyst collects, processes and performs statistical analyses on large dataset. They discover how data can be used to answer questions and solve problems. With the development of computers and an ever increasing move toward technological intertwinement, data analysis has evolved. The development of the relational database gave a new breath to data analysts, which allowed analysts to use SQL (pronounced “sequel” or “s-q-l”) to retrieve data from databases.

-What does it take to become a Data Analyst?:

1) Creative and Critical Thinking
2) Data Visualization
3) Data Manipulation, Mining and Extraction
4) Great communication skills
5) SQL and Databases

-What is the earning potential for a Data Analyst?:

Entry-level salaries range between £23,000 and £25,000. Graduate schemes in data analysis and business intelligence at larger companies tend to offer a higher starting salary of £25,000 to £30,000. With a few years' experience, salaries can rise to between £30,000 and £35,000.

For more information about what is and all things Data, read this article > HERE <